Data-knowledge co-driven innovations in engineering and management
Yingji Xia, Xiqun (Michael) Chen, Sudan Sun · 2024
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Description
Yingji Xia, Xiqun Chen, and Sudan Sun argue that engineering and management advances should be driven by data and knowledge together, published in 2024. Modern settings in both fields call for advanced ways to use data. Data alone, the authors suggest, may not meet the challenges that new, intelligent systems pose.
They propose and discuss innovations that pair large data sets with structured human knowledge. They also advocate drawing methods from across disciplines. The paper is a short position piece rather than a report of new experiments. It sets out where this joint approach could help in a range of engineering and management applications, and why the authors see it as a path worth adopting more widely.
Catalog record
| CREATOR | Yingji Xia, Xiqun (Michael) Chen, Sudan Sun |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 15 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |